What’s New in Ontosight® Terminal 1.1 A Complete Guide toRead More
Real-time, real-world data in modern clinical research
The pharmaceutical industry is facing a pivotal time in the evolution of clinical research and trials. Emerging technologies with unprecedented potential are improving trial efficiency, safety, and accuracy. Improved methods of data collection and handling are at the forefront of these developments, leading to better procedures and enhanced outcomes.
Real-time data makes a huge difference. The large volume of scientific and medical data today is doubling at a faster rate than ever before, so analyzing this data in real-time is crucial to gaining knowledge and deriving value. The better the insights the more informed and successful are the decisions.
Miscalculations can result in heavy losses especially in drug development. Leveraging AI-enabled tools can reduce risk. AI technologies can ensure that the data generated from clinical trials and research is utilized optimally. Through the creation of a central repository, data from new studies, literature, events or news around a particular indication or intervention can be captured for analysis and insight generation, which is crucial to successful development.
Technology, particularly AI, is transforming how the industry researches and develops new interventions, reduces costs and improves patient outcomes. AI is also creating a new normal where every stakeholder is always informed in almost real-time, acting faster on insights and results, leading to efficient development and investment opportunities.
The value of tracking research as well as trials in real time could impact the quality of data being generated, decisions taken, and rate of successful developments in the coming years.
Featured Blogs
Machine learning as an indispensable tool for Biopharma
The cost of developing a new drug roughly doubles every nine years (inflation-adjusted) aka Eroom’s law. As the volume of data…
Find biological associations between ‘never thought before to be linked’
There was a time when science depended on manual efforts by scientists and researchers. Then, came an avalanche of data…
Find key opinion leaders and influencers to drive your therapy’s
Collaboration with key opinion leaders and influencers becomes crucial at various stages of the drug development chain. When a pharmaceutical…
Impact of AI and Digitalization on R&D in Biopharmaceutical Industry
Data are not the new gold – but the ability to put them together in a relevant and analyzable way…
Why AI Is a Practical Solution for Pharma
Artificial intelligence, or AI, is gaining more attention in the pharma space these days. At one time evoking images from…
How can AI help in Transforming the Drug Development Cycle?
Artificial intelligence (AI) is transforming the pharmaceutical industry with extraordinary innovations that are automating processes at every stage of drug…
How Will AI Disrupt the Pharma Industry?
There is a lot of buzz these days about how artificial intelligence (AI) is going to disrupt the pharmaceutical industry….
Revolutionizing Drug Discovery with AI-Powered Solutions
Drug discovery plays a key role in the pharma and biotech industries. Discovering unmet needs, pinpointing the target, identifying the…
Leveraging the Role of AI for More Successful Clinical Trials
The pharmaceutical industry spends billions on R&D each year. Clinical trials require tremendous amounts of effort, from identifying sites and…
Understanding the Language of Life Sciences
Training algorithms to identify and extract Life Sciences-specific data The English dictionary is full of words and definitions that can be…
Understanding the Computer Vision Technology
The early 1970s introduced the world to the idea of computer vision, a promising technology automating tasks that would otherwise…
AI Is All Hype If We Don’t Have Access to
Summary: AI could potentially speed drug discovery and save time in rejecting treatments that are unlikely to yield worthwhile resultsAI has…